Oliviero Durmus, Alain

11 publications

ICML 2025 A Mixture-Based Framework for Guiding Diffusion Models Yazid Janati, Badr Moufad, Mehdi Abou El Qassime, Alain Oliviero Durmus, Eric Moulines, Jimmy Olsson

ICML 2025 Differential Privacy Guarantees of Markov Chain Monte Carlo Algorithms Andrea Bertazzi, Tim Johnston, Gareth O. Roberts, Alain Oliviero Durmus

ICML 2025 Discrete Markov Probabilistic Models: An Improved Discrete Score-Based Framework with Sharp Convergence Bounds Under Minimal Assumptions Le-Tuyet-Nhi Pham, Dario Shariatian, Antonio Ocello, Giovanni Conforti, Alain Oliviero Durmus

ICML 2025 Prediction-Aware Learning in Multi-Agent Systems Aymeric Capitaine, Etienne Boursier, Eric Moulines, Michael I. Jordan, Alain Oliviero Durmus

ICML 2025 Scaffold with Stochastic Gradients: New Analysis with Linear Speed-up Paul Mangold, Alain Oliviero Durmus, Aymeric Dieuleveut, Eric Moulines

ICML 2024 $\mathtt{VITS}$ : Variational Inference Thompson Sampling for Contextual Bandits Pierre Clavier, Tom Huix, Alain Oliviero Durmus

ICML 2024 Differentially Private Representation Learning via Image Captioning Tom Sander, Yaodong Yu, Maziar Sanjabi, Alain Oliviero Durmus, Yi Ma, Kamalika Chaudhuri, Chuan Guo

ICML 2024 Incentivized Learning in Principal-Agent Bandit Games Antoine Scheid, Daniil Tiapkin, Etienne Boursier, Aymeric Capitaine, Eric Moulines, Michael Jordan, El-Mahdi El-Mhamdi, Alain Oliviero Durmus

ICML 2024 Stochastic Localization via Iterative Posterior Sampling Louis Grenioux, Maxence Noble, Marylou Gabrié, Alain Oliviero Durmus

ICML 2024 Theoretical Guarantees for Variational Inference with Fixed-Variance Mixture of Gaussians Tom Huix, Anna Korba, Alain Oliviero Durmus, Eric Moulines

ICML 2023 On Sampling with Approximate Transport Maps Louis Grenioux, Alain Oliviero Durmus, Eric Moulines, Marylou Gabrié